code: def test_validate_estimator_default():
      smt = SMOTEENN(random_state=RND_SEED)
      X_resampled, y_resampled = smt.fit_resample(X, Y)
      X_gt = np.array(
          [
              [1.52091956, -0.49283504],
              [0.84976473, -0.15570176],
              [0.61319159, -0.11571667],
              [0.66052536, -0.28246518],
              [-0.28162401, -2.10400981],
              [0.83680821, 1.72827342],
              [0.08711622, 0.93259929],
          ]
      )
      y_gt = np.array([0, 0, 0, 0, 1, 1, 1])
      assert_allclose(X_resampled, X_gt, rtol=R_TOL)
      assert_array_equal(y_resampled, y_gt)
  
file_path: imbalanced-learn/imblearn/combine/tests/test_smote_enn.py
imports: import numpy
  from sklearn.utils._testing import assert_allclose, assert_array_equal
  from imblearn.combine import SMOTEENN
  from imblearn.over_sampling import SMOTE
  from imblearn.under_sampling import EditedNearestNeighbours
label_desc: Use image node_id 5 for calling a global function with example usage: test_validate_estimator_default() without return types